Combine Non-text Features with Deep Learning Structures Based on Attention-LSTM for Answer Selection.
Chang'e Jia|Chengjie Sun|Bingquan Liu|Lei Lin
| Anthology ID: | DBLP:conf/ccir/JiaSLL17 |
|---|---|
| Volume: | Information Retrieval - 23rd China conference, CCIR 2017, Shanghai, China, July 13-14, 2017, Proceedings |
| Year: | 2017 |
| Venue: | China Conference on Information Retrieval (CCIR) |
| Publisher: | Springer |
| Pages: | 261-271 |
| URL: | https://doi.org/10.1007/978-3-319-68699-8_21 |
| DOI: | https://doi.org/10.1007/978-3-319-68699-8_21 |
| DBLP: | conf/ccir/JiaSLL17 |
| BibTeX: |
@inproceedings{jia-2017-combine,
author = {Chang'e Jia and
Chengjie Sun and
Bingquan Liu and
Lei Lin},
editor = {Ji-Rong Wen and
Jian-Yun Nie and
Tong Ruan and
Yiqun Liu and
Tieyun Qian},
title = {{Combine Non-text Features with Deep Learning Structures Based on Attention-LSTM for Answer Selection}},
booktitle = {{Information Retrieval - 23rd China conference, CCIR 2017, Shanghai, China, July 13-14, 2017, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {10390},
pages = {261--271},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-68699-8_21},
doi = {https://doi.org/10.1007/978-3-319-68699-8_21}
}